# Comparison of methods for fitting data using Johnson translation distributions

@article{Storer1988ComparisonOM, title={Comparison of methods for fitting data using Johnson translation distributions}, author={R. H. Storer and J. J. Swain and Sreenivasan Venkatraman and J. Wilson}, journal={1988 Winter Simulation Conference Proceedings}, year={1988}, pages={476-481} }

- Published in Winter Simulation Conference Proceedings 1988
DOI:10.1109/WSC.1988.716204

The Johnson translation family of distributions provides a variety of distributional shapes for the modelling of empirical data that are readily used in simulation models. We compare a number of methods for estimating the parameters of these distributions, including moment matching (MM), least squares (ordinary- (OLS), weighted- (WLS) and diagonally weighted- (DWLS) least squares), and maximum likelihood (MLE). A sampling study is made to determine the properties of the fitted parameters and… CONTINUE READING

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## STORER is an A:ssistant Professor of I n d u s t r i a l Engineering a t ILehigh University. He received a B.S. i n I n d u s t r i a l and Operations Engineering from t h e Univeredty of Michigan

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